KI-Agenten
KI-Agenten sind Softwaresysteme, die mithilfe von logischem Denken, Planung und verschiedenen Werkzeugen komplexe Aufgaben unterstützen oder automatisieren. Wir vergleichen die führenden Open-Source- und kommerziellen Agenten.
AI Agent Sprawl Signs & Checklist to Manage Sprawl
Nearly 80% of organizations have deployed agentic AI. Yet only 21% have a mature governance model for these systems. The gap shows up in practice as agent sprawl, a buildup of redundant, ungoverned, and conflicting AI agents across the business.
OpenClaw-Ökosystem: 9 KI-Agenten-Plattformen
AI agents are no longer just tools that answer questions. In the OpenClaw ecosystem, they live in cities, earn money, trade, socialize, form beliefs, and sometimes take risks. We map that ecosystem, from simulated worlds and marketplaces to social networks and infrastructure that lets agents persist on their own.
Persönliche KI-Agenten erstellen + 18 Agent-Plattformen und -Tools
We spent the two days experimenting with real-world demos and tools to build personal AI assistants that can handle your tasks, such as scheduling meetings, managing notes, or sorting through emails. We will dive into three main approaches to building and using personal AI assistants, with real-world examples for each: 1.
Agente-CLI-Tools: Codex vs Claude Code
Agentic CLI tools are AI coding tools that can create and delete files, run commands, plan, and execute the coding of the entire project.
AI-Agent-Fallen: 20 reale Vorfälle
AI agent adoption has outpaced AI agent security: 82% of enterprises now deploy agents, but only 44% have policies to secure them, and one in five organizations has already experienced an agent-related breach.
15 Bedrohungen für die Sicherheit von KI-Agenten
Even a few years ago, the unpredictability of large language models (LLMs) would have posed serious challenges. One notable early case involved ChatGPT’s search tool: researchers found that webpages designed with hidden instructions (e.g., embedded prompt-injection text) could reliably cause the tool to produce biased, misleading outputs, despite the presence of contrary information.
Low/No-Code AI Agent Builder: n8n, make, Zapier
Low- and no-code AI agent builders let users create automated, AI-driven workflows without writing complex code, making agent development faster and accessible to non-technical teams.
Lokale KI-Agenten: Goose, Observer AI, AnythingLLM
Local AI agents are often described as offline, on-device, or fully local. We spent three days mapping the ecosystem of local AI agents that run autonomously on personal hardware without depending on external APIs or cloud services.
Vergleich der besten KI-Agenten im Kundenservice
AI agents powered by large language models (LLMs) can respond to customer queries in natural language, interpret context, and generate human-like responses. These agents can process and synthesize large volumes of information from sources such as knowledge bases. We compiled four customer service AI agents: Tidio Lyro, Microsoft Azure AI Chatbot, IBM Watsonx Assistant, and Intercom Fin.
Large Action Models: Hype oder Realität?
Following the launch of Rabbit, an AI device that can use mobile apps, the term large action models (LAMs) is getting popular. These models move beyond conversation by turning LLMs into “agents” that can connect the siloed, app-driven world without requiring users to click on apps or integrate APIs.